Design and Realization of a Fuzzy Controller for Diabetes Type 1

Автор(ы) Hajiba Legrara1, C.R. Srinivasan2 , R. Srividya3
Принадлежность

1National School of Electricity and Mechanics, ENSEM University, Morocco

2Department of Instrumentation and Control Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India

3Department of Electrical and Electronics Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India

Е-mail cr.srinivasan@manipal.edu
Выпуск Том 13, Год 2021, Номер 3
Даты Received 21 March 2021; revised manuscript received 15 June 2021; published online 25 June 2021
Ссылка Hajiba Legrara, C.R. Srinivasan, R. Srividya, J. Nano- Electron. Phys. 13 No 3, 03021 (2021)
DOI https://doi.org/10.21272/jnep.13(3).03021
PACS Number(s) 43.58.Fm, 47.63.Cb, 07.05.Mh
Ключевые слова Fuzzy control, Diabetes, PID controller, Hovorka model.
Аннотация

Nowadays, diabetes is one of the common diseases. It affects people of different ages, and it may lead to death, if it is not treated properly. There are many types of diabetes, the most common are type 1, type 2, and gestational diabetes. In this paper, we are going to focus on diabetes type1. It is when the pancreas does not produce enough insulin, and, as a consequence, blood sugar level increases. To control blood sugar level, we are going to use a PID controller and a fuzzy logic-based controller. The tuning method used for PID are Ziegler-Nichols, Cohen and Coon, and IMC. For the plant model, we are using Hovorka model, and food is chosen as the major factor that affects blood sugar level.

Список литературы